Final answer:
Data editing ensures accuracy, data coding organizes data, research questions guide exploration, hypotheses propose relationships, close-ended questions have limited response options, open-ended questions gather detailed responses.
Step-by-step explanation:
Data editing and data coding are two different processes in the research methodology. Data editing involves reviewing data for errors or inconsistencies and making necessary corrections. It ensures that the data is accurate and reliable. Data coding, on the other hand, involves assigning labels or categories to the data based on predefined criteria. It helps in organizing and analyzing the data efficiently.
Research questions and research hypotheses are both used in research studies but serve different purposes. Research questions are broad inquiries that seek to explore a particular topic or phenomenon. They do not suggest specific outcomes but guide the research process. Research hypotheses, on the other hand, are specific statements that propose a relationship or difference between variables. They are testable and help in formulating the research design and data analysis plan.
Close-ended questions and open-ended questions are types of survey questions. Close-ended questions offer a limited set of response options, such as yes/no or multiple-choice. They provide structured data that is easier to analyze but may limit the depth of responses. Open-ended questions, on the other hand, allow respondents to provide detailed and unrestricted responses. They provide valuable qualitative data but are harder to analyze due to the diversity of answers.